Color Contrast

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模型描述

创建引人注目、视觉上吸引人的图像,强调对比色。选择你最喜欢的三色之一、两种或三种,让这个LoRA将它们融合成一个醒目的设计。

我建议你稍微尝试一下,因为它能生成多种多样的图像,但你必须调整参数才能发挥其全部潜力。有时它可能会过度强调某一种颜色而忽略另一种,这时你可以尝试不同的分辨率、不同的标签顺序,或者将颜色标签与图像中的不同对象搭配使用。例如,不要使用“clrcon_green, 1girl, medium hair”,可以尝试“1girl, clrcon_green hair, medium hair”等等。

关键词是“clrcon”。还有针对常见颜色的关键词:clrcon_red、clrcon_blue、clrcon_green、clrcon_yellow、clrcon_orange、clrcon_purple、clrcon_pink。此外还有一个clrcon_soft,用于强调与辅助色 palette 的柔和对比,虽然结果可能不稳定,但不妨尝试一下。最后还有clrcon_bw,专门用于以黑色或白色创建对比的图像,无论是彼此之间,还是与其他颜色之间。

示例图像主要使用Animij生成,但在我尝试的所有检查点中它都表现良好。

仅使用clrcon标签本身就能自然地产生吸引人的对比效果,但如果你更具体地设定,它也会愉快地跟随。尽情玩乐吧!

该模型是在kohya_ss上使用我手动标注的435张图像数据集训练而成。以下是训练配置。如常,如果你对模型有任何疑问,请随时告诉我。

 {
  "LoRA_type": "Standard",
  "LyCORIS_preset": "full",
  "adaptive_noise_scale": 0,
  "additional_parameters": "--log_prefix=clrcon",
  "async_upload": false,
  "block_alphas": "",
  "block_dims": "",
  "block_lr_zero_threshold": "",
  "bucket_no_upscale": false,
  "bucket_reso_steps": 32,
  "bypass_mode": false,
  "cache_latents": true,
  "cache_latents_to_disk": true,
  "caption_dropout_every_n_epochs": 0,
  "caption_dropout_rate": 0,
  "caption_extension": ".txt",
  "clip_skip": 2,
  "color_aug": false,
  "constrain": 0,
  "conv_alpha": 4,
  "conv_block_alphas": "",
  "conv_block_dims": "",
  "conv_dim": 4,
  "dataset_config": "",
  "debiased_estimation_loss": false,
  "decompose_both": false,
  "dim_from_weights": false,
  "dora_wd": false,
  "down_lr_weight": "",
  "dynamo_backend": "no",
  "dynamo_mode": "default",
  "dynamo_use_dynamic": false,
  "dynamo_use_fullgraph": false,
  "enable_bucket": true,
  "epoch": 0,
  "extra_accelerate_launch_args": "",
  "factor": -1,
  "flip_aug": true,
  "fp8_base": false,
  "full_bf16": false,
  "full_fp16": false,
  "gpu_ids": "",
  "gradient_accumulation_steps": 1,
  "gradient_checkpointing": true,
  "huber_c": 0.1,
  "huber_schedule": "snr",
  "huggingface_path_in_repo": "",
  "huggingface_repo_id": "",
  "huggingface_repo_type": "",
  "huggingface_repo_visibility": "",
  "huggingface_token": "",
  "ip_noise_gamma": 0,
  "ip_noise_gamma_random_strength": false,
  "keep_tokens": 1,
  "learning_rate": 5e-05,
  "log_tracker_config": "",
  "log_tracker_name": "",
  "log_with": "tensorboard",
  "logging_dir": "D:/Coding/kohya_ss/logs",
  "loss_type": "huber",
  "lr_scheduler": "cosine",
  "lr_scheduler_args": "",
  "lr_scheduler_num_cycles": 1,
  "lr_scheduler_power": 1,
  "lr_warmup": 0,
  "main_process_port": 0,
  "masked_loss": false,
  "max_bucket_reso": 2048,
  "max_data_loader_n_workers": 0,
  "max_grad_norm": 1,
  "max_resolution": "1024,1024",
  "max_timestep": 1000,
  "max_token_length": 75,
  "max_train_epochs": 40,
  "max_train_steps": 0,
  "mem_eff_attn": false,
  "metadata_author": "restlessboy",
  "metadata_description": "",
  "metadata_license": "",
  "metadata_tags": "clrcon",
  "metadata_title": "clrcon",
  "mid_lr_weight": "",
  "min_bucket_reso": 64,
  "min_snr_gamma": 0,
  "min_timestep": 0,
  "mixed_precision": "fp16",
  "model_list": "custom",
  "module_dropout": 0.1,
  "multi_gpu": false,
  "multires_noise_discount": 0,
  "multires_noise_iterations": 0,
  "network_alpha": 32,
  "network_dim": 32,
  "network_dropout": 0.15,
  "network_weights": "",
  "noise_offset": 0.0357,
  "noise_offset_random_strength": false,
  "noise_offset_type": "Original",
  "num_cpu_threads_per_process": 2,
  "num_machines": 1,
  "num_processes": 1,
  "optimizer": "AdamW",
  "optimizer_args": "",
  "output_dir": "D:/Coding/kohya_ss/outputs/model",
  "output_name": "clrcon",
  "persistent_data_loader_workers": false,
  "pretrained_model_name_or_path": "D:/ai-models/Illustrious-v1",
  "prior_loss_weight": 1,
  "random_crop": false,
  "rank_dropout": 0.1,
  "rank_dropout_scale": false,
  "reg_data_dir": "",
  "rescaled": false,
  "resume": "",
  "resume_from_huggingface": "",
  "sample_every_n_epochs": 1,
  "sample_every_n_steps": 0,
  "sample_sampler": "euler_a",
  "save_every_n_epochs": 10,
  "save_every_n_steps": 0,
  "save_last_n_steps": 0,
  "save_last_n_steps_state": 0,
  "save_model_as": "safetensors",
  "save_precision": "fp16",
  "save_state": false,
  "save_state_on_train_end": false,
  "save_state_to_huggingface": false,
  "scale_v_pred_loss_like_noise_pred": false,
  "scale_weight_norms": 1,
  "sdxl": true,
  "sdxl_cache_text_encoder_outputs": false,
  "sdxl_no_half_vae": true,
  "seed": 11,
  "shuffle_caption": false,
  "stop_text_encoder_training_pct": 0,
  "text_encoder_lr": 2.5e-05,
  "train_batch_size": 2,
  "train_data_dir": "D:/Coding/kohya_ss/dataset/img",
  "train_norm": false,
  "train_on_input": false,
  "training_comment": "trigger: clrcon",
  "unet_lr": 5e-05,
  "unit": 1,
  "up_lr_weight": "",
  "use_cp": false,
  "use_scalar": false,
  "use_tucker": false,
  "v2": false,
  "v_parameterization": false,
  "v_pred_like_loss": 0,
  "vae": "",
  "vae_batch_size": 0,
  "wandb_api_key": "",
  "wandb_run_name": "",
  "weighted_captions": false,
  "xformers": "xformers"
}

此模型生成的图像

未找到图像。